NDLI: Queueing analysis in dynamic distributed real-time systems

Content Provider	IEEE Xplore Digital Library
Author	Chiu, G.-M. Raghavendra, C.S.
Copyright Year	1989
Description	Author affiliation: Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA (Chiu, G.-M.; Raghavendra, C.S.)
Abstract	The effect of queueing on a dynamic distributed real-time system, in which jobs have hard deadline requirements, is studied. A job can be guaranteed to be completed before its deadline expires; it is rejected otherwise. An analytic model is presented to calculate the probability that an arbitrary arriving job will be guaranteed. An embedded Markov chain is first established, followed by a probability analysis. In the model, only one copy of the resource is considered. If more than one copy exists in the distributed real-time system, the scheduling discipline for incoming jobs among these copies will affect the probability that a job can be guaranteed. It is shown that a round-robin scheduling, in which arriving jobs are assigned to all the copies of the resource in a cyclic order, is the best strategy. In this strategy, a job that cannot be guaranteed by its assigned copy can never be guaranteed by other copies either. However, it requires a centralized controller to assign the load. The performance issue for cases with multiple copies of a resource is noted with respect to various strategies. The model is nevertheless useful for further research where multiple copies will be taken into account or for the design of a real-time system where jobs with a hard deadline requirement arrive to the system dynamically and nonperiodically.
Starting Page	162
Ending Page	166
File Size	356169
Page Count	5
File Format	PDF
ISBN	0818619562
DOI	10.1109/EMWRT.1989.43455
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1989-06-14
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Queueing analysis Real time systems Processor scheduling Probability Job design Process control Power generation Timing Performance analysis Heuristic algorithms
Content Type	Text
Resource Type	Article

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